The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-14"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7900924 (up from 7766952 yesterday: 1.72 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "433066 (up from 429736 yesterday: 0.77 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.48



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2094058 19532 0.94 115732 296 0.26 5.53
Brazil 867624 17110 2.01 43332 612 1.43 4.99
Russia 528267 8809 1.70 6938 119 1.75 1.31
India 320922 11929 3.86 9195 311 3.50 2.87
United Kingdom 297342 1514 0.51 41783 36 0.09 14.05
Spain 243928 323 0.13 27136 0 0.00 11.12
Italy 236989 338 0.14 34345 44 0.13 14.49
Peru 229736 8987 4.07 6688 380 6.02 2.91
France 194153 407 0.21 29410 9 0.03 15.15
Germany 187518 251 0.13 8801 8 0.09 4.69
Iran 187427 2472 1.34 8837 107 1.23 4.71
Turkey 178239 1562 0.88 4807 15 0.31 2.70
Chile 174293 6938 4.15 3323 222 7.16 1.91
Mexico 146837 4147 2.91 17141 269 1.59 11.67
Pakistan 144478 12073 9.12 2729 178 6.98 1.89
Saudi Arabia 127541 4233 3.43 972 40 4.29 0.76
Canada 100404 361 0.36 8218 35 0.43 8.18
Bangladesh 87520 3141 3.72 1171 32 2.81 1.34
China 84335 49 0.06 4638 0 0.00 5.50
Qatar 79602 1186 1.51 73 3 4.29 0.09
South Africa 70038 4302 6.54 1480 57 4.01 2.11
Belgium 60029 111 0.19 9655 5 0.05 16.08
Belarus 53973 732 1.37 308 5 1.65 0.57
Sweden 51614 683 1.34 4874 0 0.00 9.44
Netherlands 48990 143 0.29 6078 2 0.03 12.41
Colombia 48896 1902 4.05 1670 47 2.90 3.42
Ecuador 46751 395 0.85 3896 22 0.57 8.33
Egypt 44598 1618 3.76 1575 91 6.13 3.53
United Arab Emirates 42294 304 0.72 289 1 0.35 0.68
Singapore 40604 407 1.01 26 0 0.00 0.06
Indonesia 38277 857 2.29 2134 43 2.06 5.58
Portugal 36690 227 0.62 1517 5 0.33 4.13
Kuwait 35920 454 1.28 296 7 2.42 0.82
Ukraine 31851 674 2.16 899 9 1.01 2.82
Argentina 31577 1282 4.23 833 18 2.21 2.64
Switzerland 31117 23 0.07 1938 0 0.00 6.23
Poland 29392 375 1.29 1247 10 0.81 4.24
Philippines 25930 538 2.12 1088 14 1.30 4.20
Ireland 25303 8 0.03 1706 1 0.06 6.74
Afghanistan 24766 664 2.75 471 20 4.43 1.90
Oman 23481 1404 6.36 104 5 5.05 0.44
Dominican Republic 22962 390 1.73 592 15 2.60 2.58
Romania 21999 320 1.48 1410 16 1.15 6.41
Panama 21418 1359 6.78 437 8 1.86 2.04
Iraq 20209 1259 6.64 607 58 10.56 3.00
Israel 19055 83 0.44 300 0 0.00 1.57
Bolivia 18459 617 3.46 611 26 4.44 3.31
Bahrain 18227 514 2.90 42 5 13.51 0.23
Japan 17369 76 0.44 927 0 0.00 5.34
Austria 17109 31 0.18 677 0 0.00 3.96
Armenia 16667 663 4.14 269 5 1.89 1.61
Nigeria 16085 403 2.57 420 13 3.19 2.61
Kazakhstan 14496 258 1.81 77 4 5.48 0.53
Denmark 12393 54 0.44 597 0 0.00 4.82
Serbia 12310 59 0.48 254 1 0.40 2.06
Korea, South 12121 36 0.30 277 0 0.00 2.29
Ghana 11964 846 7.61 54 6 12.50 0.45
Moldova 11740 281 2.45 406 8 2.01 3.46
Algeria 10919 109 1.01 767 7 0.92 7.02
Czechia 10024 33 0.33 329 1 0.30 3.28
Azerbaijan 9957 387 4.04 119 4 3.48 1.20
Guatemala 9845 354 3.73 384 17 4.63 3.90
Honduras 8858 403 4.77 312 2 0.65 3.52
Morocco 8793 101 1.16 212 0 0.00 2.41
Cameroon 8681 0 0.00 212 0 0.00 2.44
Norway 8631 3 0.03 242 0 0.00 2.80
Malaysia 8453 8 0.09 121 1 0.83 1.43
Australia 7335 15 0.20 102 0 0.00 1.39
Sudan 7220 213 3.04 459 12 2.68 6.36
Finland 7104 17 0.24 326 1 0.31 4.59
Nepal 5760 425 7.97 19 1 5.56 0.33
Senegal 5090 94 1.88 60 0 0.00 1.18
Cote d’Ivoire 5084 236 4.87 45 0 0.00 0.89
Uzbekistan 5080 114 2.30 19 0 0.00 0.37
Tajikistan 5035 64 1.29 50 0 0.00 0.99

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 383324 694 0.18 30825 30 0.10 8.04 19704.57 1584.54 1 in 51
New Jersey 166881 276 0.17 12659 38 0.30 7.59 18788.27 1425.21 1 in 53
California 152300 2282 1.52 5099 23 0.45 3.35 3854.50 129.05 1 in 259
Illinois 132543 672 0.51 6308 19 0.30 4.76 10459.66 497.80 1 in 96
Massachusetts 105603 208 0.20 7624 48 0.63 7.22 15195.76 1097.06 1 in 66
Texas 88523 1608 1.85 1984 13 0.66 2.24 3052.95 68.42 1 in 328
Pennsylvania 83203 259 0.31 6215 4 0.06 7.47 6499.22 485.47 1 in 154
Florida 75568 2016 2.74 2931 6 0.21 3.88 3518.43 136.47 1 in 284
Michigan 66054 218 0.33 6016 3 0.05 9.11 6614.09 602.39 1 in 151
Maryland 61701 396 0.65 2939 13 0.44 4.76 10205.80 486.13 1 in 98
Georgia 57681 877 1.54 2451 4 0.16 4.25 5432.67 230.85 1 in 184
Virginia 54506 637 1.18 1546 5 0.32 2.84 6385.79 181.13 1 in 157
Louisiana 46619 336 0.73 3014 10 0.33 6.47 10028.19 648.34 1 in 100
Connecticut 45088 94 0.21 4201 15 0.36 9.32 12646.39 1178.31 1 in 79
North Carolina 44264 1419 3.31 1132 5 0.44 2.56 4220.41 107.93 1 in 237
Ohio 41148 297 0.73 2559 3 0.12 6.22 3520.20 218.92 1 in 284
Indiana 39909 366 0.93 2422 9 0.37 6.07 5928.06 359.76 1 in 169
Arizona 35706 1046 3.02 1191 2 0.17 3.34 4688.97 156.40 1 in 213
Minnesota 30471 299 0.99 1329 15 1.14 4.36 5403.01 235.65 1 in 185
Tennessee 30343 794 2.69 474 2 0.42 1.56 4440.54 69.37 1 in 225
Colorado 29115 113 0.39 1598 1 0.06 5.49 5055.80 277.49 1 in 198
Washington 25834 296 1.16 1217 4 0.33 4.71 3392.56 159.82 1 in 295
Alabama 25615 1014 4.12 773 0 0.00 3.02 5224.16 157.65 1 in 191
Iowa 23926 209 0.88 652 2 0.31 2.73 7583.35 206.65 1 in 132
Wisconsin 22758 240 1.07 692 1 0.14 3.04 3908.67 118.85 1 in 256
Mississippi 19516 168 0.87 891 2 0.22 4.57 6557.47 299.38 1 in 152
South Carolina 18795 840 4.68 600 1 0.17 3.19 3650.43 116.53 1 in 274
Nebraska 16730 90 0.54 215 0 0.00 1.29 8648.64 111.15 1 in 116
Missouri 16262 30 0.18 885 0 0.00 5.44 2649.64 144.20 1 in 377
Rhode Island 15947 0 0.00 833 0 0.00 5.22 15053.41 786.32 1 in 66
Utah 14313 332 2.37 139 0 0.00 0.97 4464.50 43.36 1 in 224
Arkansas 12501 406 3.36 179 2 1.13 1.43 4142.39 59.31 1 in 241
Kentucky 12445 0 0.00 499 0 0.00 4.01 2785.57 111.69 1 in 359
Nevada 11201 204 1.86 463 1 0.22 4.13 3636.50 150.32 1 in 275
Kansas 11101 81 0.74 245 0 0.00 2.21 3810.44 84.10 1 in 262
Delaware 10264 35 0.34 422 3 0.72 4.11 10540.54 433.37 1 in 95
District of Columbia 9767 58 0.60 515 4 0.78 5.27 13839.20 729.72 1 in 72
New Mexico 9723 102 1.06 435 4 0.93 4.47 4637.00 207.46 1 in 216
Oklahoma 8231 158 1.96 359 0 0.00 4.36 2080.13 90.73 1 in 481
South Dakota 5898 65 1.11 75 0 0.00 1.27 6666.98 84.78 1 in 150
Puerto Rico 5811 121 2.13 147 1 0.68 2.53 1819.52 46.03 1 in 550
Oregon 5377 0 0.00 173 0 0.00 3.22 1274.85 41.02 1 in 784
New Hampshire 5318 19 0.36 320 2 0.63 6.02 3911.13 235.34 1 in 256
Idaho 3399 46 1.37 87 0 0.00 2.56 1896.69 48.55 1 in 527
North Dakota 3080 22 0.72 74 0 0.00 2.40 4041.67 97.10 1 in 247
Maine 2793 36 1.31 100 0 0.00 3.58 2077.80 74.39 1 in 481
West Virginia 2290 16 0.70 88 0 0.00 3.84 1281.37 49.24 1 in 780
Vermont 1127 2 0.18 55 0 0.00 4.88 1806.12 88.14 1 in 554
Wyoming 1060 10 0.95 18 0 0.00 1.70 1831.50 31.10 1 in 546
Hawaii 728 5 0.69 17 0 0.00 2.34 514.17 12.01 1 in 1945
Alaska 660 7 1.07 12 0 0.00 1.82 902.20 16.40 1 in 1108
Montana 601 13 2.21 19 1 5.56 3.16 562.32 17.78 1 in 1778

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2934599 383324 13.06 150851.51
New Jersey 1097616 166881 15.20 123574.93
California 2801996 152300 5.44 70914.66
Illinois 1191846 132543 11.12 94054.83
Massachusetts 712710 105603 14.82 102555.54
Texas 1295983 88523 6.83 44695.42
Pennsylvania 583233 83203 14.27 45558.00
Florida 1409015 75568 5.36 65603.51
Michigan 813498 66054 8.12 81456.86
Maryland 415309 61701 14.86 68695.17
Georgia 620790 57681 9.29 58468.99
Virginia 469000 54506 11.62 54946.86
Louisiana 509332 46619 9.15 109562.18
Connecticut 349106 45088 12.92 97918.06
North Carolina 627130 44264 7.06 59794.52
Ohio 546220 41148 7.53 46729.00
Indiana 348391 39909 11.46 51749.80
Arizona 338045 35706 10.56 44392.61
Minnesota 417710 30471 7.29 74066.89
Tennessee 615220 30343 4.93 90034.29
Colorado 244643 29115 11.90 42482.07
Washington 450146 25834 5.74 59113.90
Alabama 297455 25615 8.61 60665.67
Iowa 224634 23926 10.65 71197.79
Wisconsin 420124 22758 5.42 72156.08
Mississippi 214053 19516 9.12 71922.81
South Carolina 248336 18795 7.57 48232.63
Nebraska 136115 16730 12.29 70365.20
Missouri 275489 16262 5.90 44886.72
Rhode Island 191518 15947 8.33 180786.34
Utah 267713 14313 5.35 83504.84
Arkansas 196989 12501 6.35 65275.16
Kentucky 294585 12445 4.22 65937.01
Nevada 210611 11201 5.32 68376.73
Kansas 129152 11101 8.60 44331.64
Delaware 81787 10264 12.55 83990.58
District of Columbia 64530 9767 15.14 91434.77
New Mexico 258994 9723 3.75 123516.99
Oklahoma 250818 8231 3.28 63386.36
South Dakota 65319 5898 9.03 73835.23
Puerto Rico 5811 5811 100.00 1819.52
Oregon 166189 5377 3.24 39402.41
New Hampshire 96421 5318 5.52 70912.86
Idaho 62980 3399 5.40 35143.81
North Dakota 86880 3080 3.55 114006.47
Maine 69858 2793 4.00 51969.48
West Virginia 131199 2290 1.75 73412.54
Vermont 50982 1127 2.21 81703.36
Wyoming 33065 1060 3.21 57130.86
Hawaii 60322 728 1.21 42604.13
Alaska 73467 660 0.90 100427.18
Montana 58907 601 1.02 55116.22

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 107958 3390 3.24 50978 47.22 53017 3950 120 3.13 3.66
Tamil Nadu 44661 1974 4.62 24547 54.96 19679 435 38 9.57 0.97
Delhi 41182 2224 5.71 15823 38.42 24032 1327 56 4.41 3.22
Gujarat 23590 511 2.21 16333 69.24 5779 1478 29 2.00 6.27
Uttar Pradesh 13615 497 3.79 8268 60.73 4948 399 14 3.64 2.93
Rajasthan 12694 293 2.36 9566 75.36 2836 292 10 3.55 2.30
West Bengal 11087 389 3.64 5060 45.64 5552 475 12 2.59 4.28
Madhya Pradesh 10802 161 1.51 7677 71.07 2666 459 12 2.68 4.25
Haryana 7208 459 6.80 3003 41.66 4117 88 10 12.82 1.22
Karnataka 7000 176 2.58 3960 56.57 2951 87 5 6.10 1.24
State Unassigned 6972 -1012 -12.68 0 0.00 6972 0 0 NaN 0.00
Bihar 6475 186 2.96 3975 61.39 2464 36 1 2.86 0.56
Andhra Pradesh 6152 294 5.02 3316 53.90 2752 84 2 2.44 1.37
Jammu and Kashmir 5041 163 3.34 2389 47.39 2593 59 4 7.27 1.17
Telangana 4974 237 5.00 2377 47.79 2412 185 3 1.65 3.72
Assam 4119 218 5.59 1961 47.61 2147 8 0 0.00 0.19
Odisha 3909 186 5.00 2708 69.28 1187 14 1 7.69 0.36
Punjab 3140 77 2.51 2356 75.03 717 67 2 3.08 2.13
Kerala 2462 54 2.24 1101 44.72 1340 20 0 0.00 0.81
Uttarakhand 1819 34 1.90 1111 61.08 675 24 1 4.35 1.32
Jharkhand 1748 37 2.16 905 51.77 835 8 0 0.00 0.46
Chhattisgarh 1662 112 7.23 717 43.14 939 6 0 0.00 0.36
Tripura 1079 33 3.15 433 40.13 645 1 0 0.00 0.09
Goa 564 41 7.84 74 13.12 490 0 0 NaN 0.00
Ladakh 549 112 25.63 80 14.57 468 1 0 0.00 0.18
Himachal Pradesh 518 16 3.19 326 62.93 174 7 0 0.00 1.35
Manipur 458 0 0.00 91 19.87 367 0 0 NaN 0.00
Chandigarh 353 3 0.86 295 83.57 52 6 1 20.00 1.70
Puducherry 194 18 10.23 91 46.91 99 4 1 33.33 2.06
Nagaland 177 9 5.36 88 49.72 89 0 0 NaN 0.00
Mizoram 117 5 4.46 1 0.85 116 0 0 NaN 0.00
Arunachal Pradesh 91 3 3.41 7 7.69 84 0 0 NaN 0.00
Sikkim 68 5 7.94 5 7.35 63 0 0 NaN 0.00
Meghalaya 44 0 0.00 26 59.09 17 1 0 0.00 2.27
Andaman and Nicobar Islands 41 3 7.89 33 80.49 8 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 36 5 16.13 2 5.56 34 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 892641 91658 244 0.27 10.27 2116 94 15989 16449 17.95
Piemonte 368065 31059 30 0.10 8.44 517 26 2648 4012 12.92
Emilia-Romagna 407039 28073 17 0.06 6.90 192 14 1637 4204 14.98
Veneto 812540 19219 7 0.04 2.37 40 1 772 1978 10.29
Toscana 292101 10180 8 0.08 3.49 34 16 499 1085 10.66
Liguria 126705 9879 4 0.04 7.80 85 3 243 1521 15.40
Lazio 297615 7955 14 0.18 2.67 305 37 1322 808 10.16
Marche 121354 6758 4 0.06 5.57 21 0 626 993 14.69
Campania 240290 4609 1 0.02 1.92 53 2 319 430 9.33
Puglia 147249 4515 0 0.00 3.07 57 2 418 532 11.78
P.A. Trento 103910 4447 1 0.02 4.28 5 1 66 464 10.43
Sicilia 179438 3457 1 0.03 1.93 32 3 837 279 8.07
Friuli Venezia Giulia 160824 3296 0 0.00 2.05 15 1 103 343 10.41
Abruzzo 91445 3279 4 0.12 3.59 71 4 511 456 13.91
P.A. Bolzano 76195 2613 3 0.11 3.43 8 2 95 291 11.14
Umbria 81976 1436 0 0.00 1.75 9 1 20 77 5.36
Sardegna 68769 1363 0 0.00 1.98 12 0 33 132 9.68
Valle d’Aosta 16597 1191 0 0.00 7.18 7 0 7 144 12.09
Calabria 81981 1162 0 0.00 1.42 15 1 44 97 8.35
Molise 18845 439 0 0.00 2.33 0 0 74 23 5.24
Basilicata 35139 401 0 0.00 1.14 0 1 11 27 6.73

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53952 128 0.24 5222 27 0.52 9.68 6319.29 611.64 1 in 158
Ontario 33806 181 0.54 2590 8 0.31 7.66 2297.88 176.05 1 in 435
Alberta 7433 50 0.68 150 0 0.00 2.02 1684.29 33.99 1 in 594
British Columbia 2709 0 0.00 168 0 0.00 6.20 530.04 32.87 1 in 1887
Nova Scotia 1061 0 0.00 62 0 0.00 5.84 1085.47 63.43 1 in 921
Saskatchewan 665 1 0.15 13 0 0.00 1.95 562.76 11.00 1 in 1777
Manitoba 304 1 0.33 7 0 0.00 2.30 220.69 5.08 1 in 4531
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 157 0 0.00 2 0 0.00 1.27 201.28 2.56 1 in 4968
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1625 8 0.49
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1109 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 692 7 1.01
Beijing 673 9 1.34
Jiangsu 653 0 0.00
Sichuan 587 3 0.51
Chongqing 582 6 1.03
Fujian 362 1 0.28
Hebei 331 6 1.81
Shaanxi 313 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 237 1 0.42
Shanxi 198 0 0.00
Tianjin 196 3 1.53
Yunnan 185 2 1.08
Hainan 171 6 3.51
Jilin 155 2 1.29
Liaoning 151 2 1.32
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6399.93 353.70 1 in 156
Brazil 4145.36 207.03 1 in 241
Russia 3655.83 48.01 1 in 274
India 239.67 6.87 1 in 4172
United Kingdom 4475.35 628.88 1 in 223
Spain 5227.78 581.57 1 in 191
Italy 3918.47 567.87 1 in 255
Peru 7141.31 207.90 1 in 140
France 2898.24 439.02 1 in 345
Germany 2264.98 106.31 1 in 442
Iran 2309.35 108.88 1 in 433
Turkey 2205.66 59.49 1 in 453
Chile 9656.12 184.10 1 in 104
Mexico 1136.51 132.67 1 in 880
Pakistan 733.39 13.85 1 in 1364
Saudi Arabia 3871.92 29.51 1 in 258
Canada 2671.03 218.62 1 in 374
Bangladesh NA NA 1 in NA
China 60.85 3.35 1 in 16434
Qatar 30163.70 27.66 1 in 33

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 209878 22103 10.53
Cook Illinois 84906 4189 4.93
Los Angeles California 73018 2907 3.98
Nassau New York 41204 2165 5.25
Suffolk New York 40659 1948 4.79
Westchester New York 34290 1404 4.09
Philadelphia Pennsylvania 24338 1505 6.18
Middlesex Massachusetts 23195 1756 7.57
Miami-Dade Florida 21917 825 3.76
Wayne Michigan 21749 2670 12.28
Suffolk Massachusetts 19335 950 4.91
Hudson New Jersey 19177 1254 6.54
Bergen New Jersey 18818 1664 8.84
Maricopa Arizona 18692 551 2.95
Essex New Jersey 18364 1745 9.50
Prince George’s Maryland 17326 637 3.68
Harris Texas 16778 275 1.64
Passaic New Jersey 16627 999 6.01
Middlesex New Jersey 16430 1076 6.55
Union New Jersey 16322 1126 6.90
Fairfield Connecticut 16306 1346 8.25
Essex Massachusetts 15604 1046 6.70
Dallas Texas 14232 284 2.00
Montgomery Maryland 13607 690 5.07
Rockland New York 13423 661 4.92
Fairfax Virginia 13017 423 3.25
New Haven Connecticut 12034 1044 8.68
Worcester Massachusetts 11975 870 7.27
Providence Rhode Island 11959 0 0.00
Oakland Michigan 11306 1067 9.44
Hartford Connecticut 11218 1327 11.83
Marion Indiana 10662 648 6.08
Orange New York 10571 473 4.47
Riverside California 10490 383 3.65
Hennepin Minnesota 10191 716 7.03
District of Columbia District of Columbia 9767 515 5.27
Milwaukee Wisconsin 9511 350 3.68
San Diego California 9440 319 3.38
Ocean New Jersey 9244 817 8.84
Lake Illinois 9076 374 4.12
Broward Florida 8928 357 4.00
Norfolk Massachusetts 8866 888 10.02
Palm Beach Florida 8833 426 4.82
Monmouth New Jersey 8740 672 7.69
Clark Nevada 8735 378 4.33
King Washington 8722 591 6.78
Orange California 8573 221 2.58
Plymouth Massachusetts 8507 621 7.30
DuPage Illinois 8434 431 5.11
Jefferson Louisiana 8379 466 5.56

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc